The COVID-19 pandemic validated the need for digital transformation in 2020. In 2021, digital strategies will be put to the test.
As the COVID-19 pandemic demanded a remote enterprise in 2020, organizations with a digital strategy in place made the transition seamlessly. With the pandemic continuing into the new year, digital transformation is no longer optional, but a critical component for success. As we enter 2021, we’ll see enterprises increasingly solve business problems with digital, equipping themselves with the necessary tools and solutions to make the most of their digital strategy.
Below are three trends we expect to see in 2021.
In 2021, the window will close on the digital transformation’s competitive advantage. COVID proved digital transformation’s value, and companies that don’t tackle high priority business problems with digital now will see their competitors pass them by.
Companies that moved on digital transformation in 2019 or early 2020 are reaping the benefits of never skipping a beat since they sent their employees home in March. They know how to develop new and complex products from home with an integrated tech stack enabling digital twins. For products already in the market, they are turning on AR or VR remote service offerings seamlessly.
We’ll see enterprises on the verge of being left behind throw out their digital transformation roadmaps, as none will prove worth the investment at this point in the game. Alternatively, we’ll see these enterprises identify one or two high priority business problems in innovation, productivity or risk management and solve them with proofs of value in data science, smart connected products and operations and digital product creation.
Addressing a problem will show instant value, drive user adoption and create a new roadmap based on value rather than technology.
An ecosystem of technologies, solution providers and architects will be key for powering successful digital transformation initiatives in 2021. Organizations will favor open architecture platforms to unite the best features of various IT, OT and engineering technology (ET) solutions over leveraging a single provider with a narrower tech stack, which can have limitations and impede results. This allows for the critical flexibility digital transformation initiatives require, allowing teams to quickly implement solutions and drive results. What’s more, by leveraging best-of-breed solutions and partners, businesses can create a closed-loop system to further improve outcomes by sharing input and output data across the ecosystem to continuously adapt to shifting conditions or constraints. By sharing information, organizations can minimize time, reduce effort and eliminate redundancy.
To help guide partner decisions, successful enterprises will adapt a collaborative development strategy, which includes:
This will deliver significant productivity, cycle time and efficiency gains and, ultimately, winning solutions.
In 2021, enterprises will take a human-centered approach to AI initiatives, understanding user needs and values, then adapting AI designs and models accordingly, which will in turn, improve adoption.
Enterprises must put the same focus on people and culture as the technology itself for AI to be successful. Organizational change management (OCM) teams will be critical for driving digital transformation and AI forward by bringing people along for the change journey and setting the organization up for measurable results. Proper change management is the most important – yet overlooked – aspect of any digital transformation initiative.
Advanced analytics are becoming mainstreamed as businesses increasingly collect and analyze data across their organizations, with 35% of U.S. manufacturers deploying advanced analytics in the past three years. For AI to have a significant impact across the value chain, prescriptive analytics will be the catalyst to optimize performance. Prescriptive analytics will become an essential piece for scaling AI within organizations, by leveraging product and customer data to advise AI models on how to improve processes, adjust production and increase efficiency. Prescriptive analytics enables constant improvement with an AI model by continuously monitoring and adjusting based on evolving conditions. Prescriptive models can then enable decision automation, where the models can take the best course of action based on prescriptions. Going beyond predictive analytics to prescriptive analytics will ultimately enable digital transformation success for manufacturers in 2021.
By uniting the best solutions, leveraging the power of prescriptive analytics, and taking a human-centered approach to AI and digital initiatives, enterprises will capitalize on their digital transformation strategy propelling their success in 2021 and in the future.
George Young, Global Managing Director at Kalypso, A Rockwell Automation Company
George has over 30 years of experience in business management and consulting, serving Fortune 500 brands across industries. Kalypso, founded in 2004, is a professional services firm that helps its clients discover, create, make and sell new products with digital. On May 1, 2020, Kalypso was acquired by Rockwell Automation. George sets the strategic direction of Kalypso, leads consulting projects for name brands in the consumer, industrial high tech and life sciences industries; and works to build the next generation of Kalypso leaders by championing diversity and teaching leadership classes year-round.
Contact: kalypso@10fold.com
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